Predict your insurance premium cost from your web application

Join us for a series of workshops to start your "Journey to Cloud"

This is the fifth workshop of the series. In this workshop you will learn how to deploy you AutoAI Machine Learning model on Watson Machine Learning service and then integrate it to your web application using API Endpoints.

🎓 What you will learn

• IBM Cloud
• Watson Studio
• AutoAI Model Deployment & Integration

👩‍💻 Who should attend

• Beginners
• Developers
• Data Scientists, Machine Learning Engineers
• Curious thinkers
• All tech people are welcome to attend the series!

🎈 Prerequisites

• Sign up or Log in to your IBM Cloud account: http://ibm.biz/jtcloud
  Attended previous workshops/ watched their recordings, fourth session is mandatory requirement because we wont build a model in this workshop but work on its deployment

🍪 How to attend

• Register to participate in the live stream or watch the replay: https://www.crowdcast.io/e/journeytocloud5

🎙️ Speakers

• Qamar un Nisa, Lead Developer Advocate & Data Scientist, North, East & West Africa, IBM Hybrid Cloud Build Team -
• Sbusiso Mkhombe, Developer Advocate, IBM

🙇🏻Workshops included in the series

• 24th November @ 6PM (GST) - Connect a secure Cloudant database instance to your web application
• 29th November @ 6PM (GST) - Deploy a Python-Flask application on IBM Cloud.
• 2nd December @ 6PM (GST) - Monitor and Secure your Flask application on the Cloud
• 6th December @ 6PM (GST) - Create a Credit Analysis classification model with little to no code.
• 8th December @ 6PM (GST) - Predict your insurance premium cost from your web application.

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